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Related Experiment Videos

A computerised screening instrument for adolescent depression: population-based validation and application to a

G C Patton1, C Coffey, M Posterino

  • 1Department of Paediatrics, University of Melbourne, Victoria, Australia.

Social Psychiatry and Psychiatric Epidemiology
|May 18, 1999
PubMed
Summary

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Computer screening tools like the revised Clinical Interview Schedule (CIS-R) show promise for identifying adolescent depression. While the CIS-R demonstrated high specificity, its low sensitivity suggests further screening strategies are needed for accurate depression detection in youth.

Area of Science:

  • Mental Health Research
  • Adolescent Psychology
  • Digital Health Interventions

Background:

  • Computer-administered questionnaires are an under-explored, cost-effective alternative to traditional screening methods.
  • Assessing the validity of digital tools for mental health screening in adolescents is crucial.

Purpose of the Study:

  • To compare a computerised self-administered version of the revised Clinical Interview Schedule (CIS-R) against the Composite International Diagnostic Interview (CIDI) for screening adolescent depression.
  • To evaluate the prevalence, sensitivity, and specificity of the CIS-R in a large adolescent sample.

Main Methods:

  • A two-phase study involving 2032 Australian high school students (mean age 15.7 years) from a stratified random sample.
  • Comparison of the computerised CIS-R with the CIDI for diagnosing depression in the past 6 months.

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  • Estimation of prevalence, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) using weighted analyses.

    • Main Results:

    • Overall depression prevalence was 3.2% via CIS-R and 12.1% via CIDI.
    • The CIS-R exhibited high specificity (0.97) but low sensitivity (0.18) for detecting CIDI-defined depression.
    • The CIS-R showed a PPV of 0.49 and NPV of 0.91.

    Conclusions:

    • The computerised CIS-R is comparable to paper-based tools for case identification in adolescent depression studies.
    • The low sensitivity of a single CIS-R screening highlights the need for enhanced strategies, such as serial screening, to improve detection rates.
    • Further research into optimizing digital screening tools for adolescent mental health is warranted.